3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.DC2026
NeuroPrefetcher: Storage-Aware Sparse LLM Inference via Delta Prefetching
Nobel Dhar, Md Romyull Islam, Xuechen Zhang +4
Deploying large language models on edge devices is increasingly limited by a widening gap between model size and available memory. Existing approaches such as quantization, smaller…
cs.DC2025
Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges
Md Romyull Islam, Bobin Deng, Nobel Dhar +4
Cloud-based large language models (LLMs) and their variants have significantly influenced real-world applications. Deploying smaller models (i.e., small language models (SLMs)) on…
cs.LG2025★ 3 cited
Activation Sparsity Opportunities for Compressing General Large Language Models
Nobel Dhar, Bobin Deng, Md Romyull Islam +3
Deploying local AI models, such as Large Language Models (LLMs), to edge devices can substantially enhance devices' independent capabilities, alleviate the server's burden, and low…